Parallel Recurrent Artificial Neural Networks for Electric Vehicle Battery State of Health Estimation
Author:
Affiliation:
1. University of Nottingham Malaysia Campus,Department of Electrical and Electronic Engineering,Semenyih,Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10004205/10004219/10004263.pdf?arnumber=10004263
Reference26 articles.
1. Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles
2. Modeling and Estimation of Remaining Useful Life of Single cell Li-Ion battery
3. State of health prediction for lithium‐ion batteries with a novel online sequential extreme learning machine method
4. Intelligent state of health estimation for lithium-ion battery pack based on big data analysis
5. Adaptive and Fast State of Health Estimation Method for Lithium-ion Batteries Using Online Complex Impedance and Artificial Neural Network
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4. Analysis of cell-level abnormality diagnosis based on battery pack voltage information;2023 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific);2023-11-28
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